In vivo performance of a dual genetic marker,<i>manA-gfp</i>, in transgenic bentgrass
Bibliographic record
Abstract
A dual-marker combination, manA-gfp, comprising 2 independent expression cassettes of genes encoding an Escherichia coli phosphomannose isomerase (PMI) and a synthetic green fluorescent protein (GFP), was incorporated into the binary vector pPZP201. Agrobacterium tumefaciens-mediated transfer was used to introduce the manA-gfp into the mature-seed derived calli of Agrostis stoloifera L. 'Crenshaw'. The putative transgenic bentgrass calli were screened in Murashige and Skoog medium containing 15 g mannose/L, in conjunction with a visual examination of the GFP expression with a fluorescence stereomicroscope. Calli with GFP fluorescence grew well on the mannose selection media. A total of 24 transgenic plants derived from a single piece of callus lobe were studied for the genomic integration, expression, and function of the transgene. Genomic integration of the dual markers manA and gfp was confirmed by Southern blotting analysis, and the expression of manA also was validated by using PMI-specific antiserum. The inheritance and expression of the dual marker, manA-gfp, was demonstrated in the T1 generation. This study on the environmentally friendly markers further documented the feasibility of using alternative selection methods without using herbicide- or antibiotic-resistance markers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".